Automated Server Management Platform for Patching and Traffic Failover
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Managing networked environments with numerous servers is cumbersome due to the complexity of data aggregation, leading to unresolved performance issues and inefficient resource consumption, which affects human-computer interaction and network conditions.
Innovation Solution
An automated management service provides a user interface for integrated network administration, featuring one-touch patch management, traffic failover, predictive analytics, and site reliability, leveraging machine learning and AI for automated decision-making and proactive issue resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple separate tools are used to access different sets of data for network management, then comprehensive data coverage is achieved, but the complexity of operation increases and time consumption increases
Solution Approach 1:
The patent combines multiple separate management tools into a single integrated platform that provides unified access to all network data including server metrics, application performance, and infrastructure status. This consolidation maintains comprehensive data coverage while eliminating the need for administrators to switch between multiple tools, directly resolving the contradiction between complete information access and operational simplicity
2Ease of operation
If manual monitoring and management of servers is performed, then detailed control is maintained, but the time required for management increases and productivity decreases
Solution Approach 1:
The system implements automated self-service capabilities including autonomous anomaly detection, automatic alert generation, and self-healing workflows that can perform routine management tasks without human intervention. This maintains detailed control over server operations while dramatically improving management productivity by eliminating manual monitoring of repetitive tasks
3Loss of information
If comprehensive data collection from all servers is implemented, then complete system visibility is achieved, but the complexity of data processing increases
Solution Approach 1:
The patent introduces an intelligent data processing layer that acts as an intermediary between data collection and analysis functions. This layer automatically aggregates, filters, and prioritizes data from multiple servers using machine learning algorithms, maintaining complete system visibility while reducing processing complexity by eliminating the need for manual data synthesis
4Productivity
If automated management workflows are implemented, then productivity increases and time consumption decreases, but the extent of automation requires sophisticated systems
Solution Approach 1:
The system pre-configures automated workflows and decision-making rules during initial setup, storing predefined responses for common scenarios. This allows the system to execute complex automated management tasks with high productivity while keeping operational complexity low during actual use, as the sophisticated logic is already established and does not require real-time complex processing
Data Source
AI summary
Presented herein are systems and methods for managing networked environments. A computer system may provide a user interface for configuring a plurality of groups of servers each hosting a resource for an application. The user interface may include: a first element configured to select, upon interaction, at least one group of servers from the plurality of groups of servers to which to install a patch for the application; a second element configured to identify, upon interaction, a first group of servers of the plurality of groups of servers to which to transfer network traffic associated with the application and communicated with a second group of servers of the plurality of groups of servers; and a third element configured to provide, upon interaction, one or more performance indicators for at least one of a plurality of functions of the application.